Evidence map›Paper›PMID 37188204›Full record

ArticleFrontiers in oncology2023

Bacterial lipopolysaccharide-related genes are involved in the invasion and recurrence of prostate cancer and are related to immune escape based on bioinformatics analysis.

Bangwei Che, Wenjun Zhang, Wei Li, Kaifa Tang, Jingju Yin, Miao Liu, Shenghan Xu, Tao Huang, Ying Yu, Kunyuan Huang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.8field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Androgen Signaling in Prostate Cancer: When a Friend Turns Foe.Endocrine, metabolic & immune disorders drug targets · 2025
    Review
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 3 institutions in 1 country.

Bangwei CheSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Wenjun ZhangSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Wei LiSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Kaifa TangSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Jingju YinDepartment of Oral and Maxillofacial Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Miao LiuSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Shenghan XuSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Tao HuangSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Ying YuSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Kunyuan HuangSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Zheng PengSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Cheng ZhaSchool of Clinical Medicine, Guizhou Medical University, Guiyang, China.
Guiyang Medical University · CNAffiliated Hospital of Guizhou Medical University · CNFirst Affiliated Hospital of Fujian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The composition of the tumor microbial microenvironment participates in the whole process of tumor disease. However, due to the limitations of the current technical level, the depth and breadth of the impact of microorganisms on tumors have not been fully recognized, especially in prostate cancer (PCa). Therefore, the purpose of this study is to explore the role and mechanism of the prostate microbiome in PCa based on bacterial lipopolysaccharide (LPS)-related genes by means of bioinformatics. Methods: The Comparative Toxicogenomics Database (CTD) was used to find bacterial LPS- related genes. PCa expression profile data and clinical data were acquired from TCGA, GTEx, and GEO. The differentially expressed LPS-related hub genes (LRHG) were obtained by Venn diagram, and gene set enrichment analysis (GSEA) was used to investigate the putative molecular mechanism of LRHG. The immune infiltration score of malignancies was investigated using single-sample gene set enrichment analysis (ssGSEA). Using univariate and multivariate Cox regression analysis, a prognostic risk score model and nomogram were developed. Results: 6 LRHG were screened. LRHG were involved in functional phenotypes such as tumor invasion, fat metabolism, sex hormone response, DNA repair, apoptosis, and immunoregulation. And it can regulate the immune microenvironment in the tumor by influencing the antigen presentation of immune cells in the tumor. And a prognostic risk score and the nomogram, which were based on LRHG, showed that the low-risk score has a protective effect on patients. Conclusion: Microorganisms in the PCa microenvironment may use complex mechanism and networks to regulate the occurrence and development of PCa. Bacterial lipopolysaccharide-related genes can help build a reliable prognostic model and predict progression-free survival in patients with prostate cancer.

Indexed as

ADTimmune infiltrationmicrobiomeprostate cancerrisk score

Identifiers

PMID37188204
PMCPMC10175693
OpenAlexW4367299987

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.